基于SVM的小样本可靠性数据分布模式识别研究

Distributions Identification for Small Samples Based on SVM

摘要:

小样本数据分布模式识别是航空新装备可靠性分析中亟需解决的一个难题。采用现代统计学原理及支持向量机多分类算法提取了数据分布特征参数,构建了小样本数据分布模式识别模型。测试结果表明,模型对小样本数据分布模式具有较强的识别能力。

Abstract:

It is a difficult problem for small samples distributions identification in new aeronautical equipment reliability analysis. An intelligent distributions identification model for small samples was proposed using statistics and multi-element classifier support vector machine. The results indicate that it has preferable performance for a feasible and effective model.